Object Detection In Fields

Object Detection in Fields is an agricultural machine vision task that involves identifying and localizing specific objects within natural field environments using image-based analysis to support precision farming operations.

201

Publications

9.5K

Citations

948

Authors

290

Institutions

Publications per year

2017–2026

178

Authors

948

  1. RN
    Rasmus Nyholm Jørgensen

    Aarhus University, Denmark

    4 publications · 318 citations

    4

    h-index

  2. HL
    Hao Lü

    Huazhong University of Science and Technology, China

    3 publications · 266 citations

    3

    h-index

  3. ZC
    Zhiguo Cao

    Huazhong University of Science and Technology, China

    3 publications · 266 citations

    3

    h-index

  4. MW
    Matthias Wagner

    Christian-Albrechts-Universität zu Kiel, Germany

    3 publications · 158 citations

    3

    h-index

  5. RL
    Rui Li

    Northwest A&F University, China

    3 publications · 240 citations

    3

    h-index

1–5 of 948

Venues

  1. Computers and Electronics in Agriculture

    25 publications · 1.9K citations

    21

    h-index

  2. Frontiers in Plant Science

    13 publications · 446 citations

    13

    h-index

  3. Remote Sensing

    12 publications · 859 citations

    12

    h-index

  4. Sensors

    11 publications · 492 citations

    11

    h-index

  5. Agronomy

    8 publications · 335 citations

    8

    h-index

1–5